• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.123-129
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• 2007

On the Semantic Web, the content of the documents must be explicitly represented through metadata in order to enable contents-based inference. In this study, we propose a mechanism to convert the Conceptual Graph (CG) into Resource Description Framework (RDF). Quite a large number or representation languages for representing knowledge on the Web have been established over the last decade. Most of these researches are focused on design of independent knowledge description. On the Semantic Web, however, a knowledge conversion mechanism will be needed to exchange the knowledge used in independent devices. In this study, the CG could give an entire conceptual view of knowledge and RDF can represent that knowledge on the Semantic Web. Then the CG-based object oriented PROLOG could support the natural inference based on that knowledge. Therefore, our proposed knowledge conversion mechanism will be used in the designing of Semantic Web-based knowledge representation and inference systems.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.159-161
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• 2006

The peer-to-peer (P2P) systems have Brown significantly over last few years due to their hish potential of sharing various resources. Super-peer based P2P systems have been found very effective by dividing the peers into two layers, SP (Super-Peer) and OP (Ordinary-Peer). In this paper, we present ISP2P (Intelligent Super-peer based P2P system), which allows us to choose the best SP. Through analyzing capacity and similarity between SP and OP, we can help OPs to select the most appropriate SP respectively. Proposed system can improve the performance of the average response time by superior SP, reduce the bandwidth cost by small path length due to content similarity and solve frequent SP replacement problem by considering similarity of user behavior.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.211-214
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• 2008

일부 음악 장르분류에 관한 기존 연구에서는 특징 추출을 위한 구간 선택 시 사람이 직접 음악의 주요 구간을 지정하는 방법을 사용하였다. 이러한 방법은 분류 성능이 좋은 반면 수작업으로 인한 부담으로 새롭게 등록되는 음악들에 대해 지속적으로 적용하기가 곤란하다. 이러한 이유로 최근 음악 장르 분류와 관련된 연구에서는 자동으로 추출구간을 선정하는 방법을 사용하고 있는데 이러한 연구의 대부분이 고정된 구간 (예, 30초 이후의 30초 구간)에서 특징을 추출하는 관계로 분류의 정확도가 떨어지는 문제점을 갖고 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 음악 전체 구간에 대하여 반복구간을 파악하고, 그 중 음악을 대표할 수 있는 단일 대표구간을 선정한 후, 대표구간으로 부터 특징을 추출하여 장르 분류 시스템에 적용하는 방법을 제안하였다. 실험 결과, 기존 고정구간을 사용한 방법에 비해 괄목할 만한 성능 향상을 얻을 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2862-2878
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• 2020

Data Security is the most challenging area in Internet communication, where most of the secret sharing schemes are proposed for binary images. But still it lacks in providing security for data communication, especially in image transmission. Traditional visual cryptography scheme generate meaningless diwies and the reconstruction phase leads to quality degradation over the secret image. In this work, an intelligent two dimensional secret share construction scheme is proposed. A secret image is expanded into n diwies with the choice of scheme selection. By Stacking all the qualified diwies to revert the secret image without content loss and less than s^* - 1 shares could not reveal any information about the secret image. The experimental results emphasize that the proposed secret share scheme is highly secured for image transmission.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.3
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• pp.122-130
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• 2009

The paper presents an algorithm which uses code vectors to represent comer geometry information for searching the similar images from a database. The comers have been extracted by finding the intersections of the detected lines found using Hough transform. Taking the comer as the center coordinate, the angles of the intersecting lines are determined and are represented using code vectors. A code book has been used to code each comer geometry information and indexes to the code book are generated. For similarity measurement, the histogram of the code book indexes is used. This result in a significant small size feature matrix compared to the algorithms using color features. Experimental results show that use of code vectors is computationally efficient in similarity measurement and the comers being noise invariant produce good results in noisy environments.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.05a
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• pp.109-112
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• 2001

Recently, the subject of \"wavelet analysis\" has drawn much attention from both mathematical and engineering application fields such as Signal Processing, Compression/Decomposition, Statistics and ets. Analogous to Fourier analysis, wavelets is a versatile tool with very rich mathematical content and great potential for applications. Specially, wavelet transform uses localizable various mother wavelet functions in time-frequency domain. In this paper, discrimination analyses of acquired electrical current signals for each and mixed loads were tried by using Morlet wavelet transform. Their representative loads were classified as TV, DRY(Dryer), REF(Refrigerate), and FL(Fluorescent Lamp).

• Journal of Digital Contents Society
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• v.4 no.2
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• pp.191-202
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• 2003

This paper presents a design and implementation example of intelligent equipment management system that is constructed to manage high price equipment of digital content department effectively. To support system operation we executed data mining and presented various rules that appear in dat3 mining process based on dat3 of user, equipment and using record. We presented personalization plan of web site to offer user dependent administration policy and dynamic interface using analyzed informatio.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.255-260
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• 2009

Multimedia interpretation describes a high level of ion of multimedia content like interrelations and coherencies. In this paper, we describe a multimedia interpretation component from human-centered perspective. In this context, we see the role of the multimedia interpretation component as a liaison between the psychological apparatuses and computer-based artifact. We emphasize this role of multimedia interpretation by outlining a mapping process of the psychological apparatuses and computer-based artifact. This mapping process needs to be transparent to its user so that effective human-centered systems can be achieved. This transparency will provide an immersive environment for the users and enable uninhibited interaction between the users and the artifact. Furthermore, we illustrate how the multimedia interpretation component can be utilized in the medical diagnosis and treatment support application.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.333-336
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• 2020

AI-powered robot news is drawing attention as artificial intelligence technology is fully spread in the news distribution field. Robot news still has many technical and ethical problems, but academic research on this is insufficient. This study analyzes the issue of robot writing in artificial intelligent based robot journalism industry using SWOT analysis. As a result, the advantages of big data processes, accurate information gathering, high efficiency and disadvantages such as lack of independent arguments and lack of evidence and opportunities for technical development, government support, academic development, and industrial applications, and threats such as uncritical acceptance and lack of talent have been found. This study suggests three future-oriented directions, such as human-machine collaboration, intelligent news, and chat-bot, through previous studies on the development direction of robot journalism-based article writing.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.97-99
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• 2013

Various display devices become widespread now. Endeavoring to provide high-quality user experience, sharing contents becomes a hot issue in recent years. In this paper, a Contents Sharing System based on Users Context is proposed, which can provide pervasive contents sharing services on multiple devices with disregard for the device differences. This system supporting automatical contents sharing according to users' context, and intelligent content-fault recovery to provide an intelligent platform for users sharing service seamlessly without additional manual operations. Also we points out the problems and considerations about this proposed system which will be improved in the later research.